-
-effective alternative to the UK-CCI by applying machine learning and NLP techniques to articles published in leading UK newspapers. The linguistic analysis of text in Economics and Finance has become very
-
). The ideal candidate will be interested in fluid dynamics, reacting flows, and laser diagnostics and have programming experience in at least one language (e.g., Python, MATLAB, etc.). The selection process
-
-specific language (DSL) and a compilation framework, the project seeks to simplify pipeline development, improve efficiency, and ensure data correctness and timeliness. Key Objectives: DSL Development
-
specifically designed for graph pattern matching queries, with sufficient feature coverage of a practical graph query language (e.g., openCypher). The position is an opportunity to combine cutting-edge research
-
candidates – you can learn more about our projects and application process here . The use of new language technologies for translation purposes by non-language professionals in higher education settings (Ref
-
other countries) in Chemistry or a related subject (such as Natural Science, Materials Science, Physics, Engineering). If English is not the candidate’s first language, they must provide evidence before
-
and reinforcement learning, a technology which has powered many of the recent groundbreaking self-guided game engines and large language models. Together we will study how the existing and emerging
-
groundbreaking self-guided game engines and large language models. Together we will study how the existing and emerging paradigms in reinforcement learning can be utilized to power robotics systems in autonomously
-
. If English is not your first language, you will also need to meet the relevant English language requirements. An IELTS score of 6.5 (no less than 6.0 in any element) is required, although we also
-
if English is not your first language and you have not completed a Masters degree from a UK institution or international institution where the course was delivered and assessed in English, within the last five